Low rates of prescribing alcohol relapse prevention medicines in Australian Aboriginal Community Controlled Health Services

Introduction: Alcohol dependence is a chronic condition impacting millions of individuals worldwide. Safe and effective medicines to reduce relapse can be prescribed by general practitioners but are underutilised in the general Australian population. Prescription rates of these medicines to Aborigin...

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Bibliographic Details
Published in:Drug and Alcohol Review
Main Authors: Purcell-Khodr, Gemma C., Conigrave, James, Lee, K. S. Kylie, Vnuk, Julia, Conigrave, Kate
Format: Article in Journal/Newspaper
Language:unknown
Published: Wiley-Blackwell Publishing Ltd. (UK) 2023
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Online Access:https://acuresearchbank.acu.edu.au/download/452dc6ab416e714f9054b01774b3d4be31f23b12d3368affbff3cf006cf5ab3d/1253528/Conigrave_2023_Low_rates_of_prescribing_alcohol_relapse.pdf
https://doi.org/10.1111/dar.13708
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Summary:Introduction: Alcohol dependence is a chronic condition impacting millions of individuals worldwide. Safe and effective medicines to reduce relapse can be prescribed by general practitioners but are underutilised in the general Australian population. Prescription rates of these medicines to Aboriginal and Torres Strait Islander (First Nations) Australians in primary care are unknown. We assess these medicines in Aboriginal Community Controlled Health Services and identify factors associated with prescription. Methods: Baseline data (spanning 12 months) were used from a cluster randomised trial involving 22 Aboriginal Community Controlled Health Services. We describe the proportion of First Nations patients aged 15+ who were prescribed a relapse prevention medicine: naltrexone, acamprosate or disulfiram. We explore associations between receiving a prescription, a patient AUDIT-C score and demographics (gender, age, service remoteness) using logistic regression. Results: During the 12-month period, 52,678 patients attended the 22 services. Prescriptions were issued for 118 (0.2%) patients (acamprosate n = 62; naltrexone n = 58; disulfiram n = 2; combinations n = 4). Of the total patients, 1.6% were ‘likely dependent’ (AUDIT-C ≥ 9), of whom only 3.4% received prescriptions for these medicines. In contrast, 60.2% of those who received a prescription had no AUDIT-C score. In multivariate analysis, receiving a script (OR = 3.29, 95% CI 2.25–4.77) was predicted by AUDIT-C screening, male gender (OR = 2.24, 95% CI 1.55–3.29), middle age (35–54 years; OR = 14.41, 95% CI 5.99–47.31) and urban service (OR = 2.87, 95% CI 1.61–5.60). Discussion and Conclusions: Work is needed to increase the prescription of relapse prevention medicines when dependence is detected. Potential barriers to prescription and appropriate ways to overcome these need to be identified.